001package org.cpsolver.studentsct.filter; 002 003import java.util.HashSet; 004 005import org.cpsolver.ifs.util.ToolBox; 006import org.cpsolver.studentsct.model.Student; 007 008 009/** 010 * This student filter accepts every student with the given probability. The 011 * choice for each student is remembered, i.e., if the student is passed to the 012 * filter multiple times the same answer is returned. 013 * 014 * @version StudentSct 1.3 (Student Sectioning)<br> 015 * Copyright (C) 2007 - 2014 Tomáš Müller<br> 016 * <a href="mailto:muller@unitime.org">muller@unitime.org</a><br> 017 * <a href="http://muller.unitime.org">http://muller.unitime.org</a><br> 018 * <br> 019 * This library is free software; you can redistribute it and/or modify 020 * it under the terms of the GNU Lesser General Public License as 021 * published by the Free Software Foundation; either version 3 of the 022 * License, or (at your option) any later version. <br> 023 * <br> 024 * This library is distributed in the hope that it will be useful, but 025 * WITHOUT ANY WARRANTY; without even the implied warranty of 026 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU 027 * Lesser General Public License for more details. <br> 028 * <br> 029 * You should have received a copy of the GNU Lesser General Public 030 * License along with this library; if not see 031 * <a href='http://www.gnu.org/licenses/'>http://www.gnu.org/licenses/</a>. 032 */ 033public class RandomStudentFilter implements StudentFilter { 034 private double iProb = 1.0; 035 private HashSet<Long> iAcceptedStudentIds = new HashSet<Long>(); 036 private HashSet<Long> iRejectedStudentIds = new HashSet<Long>(); 037 038 /** 039 * Constructor 040 * 041 * @param prob 042 * probability of acceptance of a student 043 */ 044 public RandomStudentFilter(double prob) { 045 iProb = prob; 046 } 047 048 /** 049 * A student is accepted with the given probability 050 */ 051 @Override 052 public boolean accept(Student student) { 053 Long studentId = Long.valueOf(student.getId()); 054 if (iAcceptedStudentIds.contains(studentId)) 055 return true; 056 if (iRejectedStudentIds.contains(studentId)) 057 return false; 058 boolean accept = (Math.random() < iProb); 059 if (accept) 060 iAcceptedStudentIds.add(studentId); 061 else 062 iRejectedStudentIds.add(studentId); 063 return accept; 064 } 065 066 /** 067 * Set acceptance probability. Update the sets of accepted and rejected 068 * students accordingly. 069 * 070 * @param prob 071 * new acceptance probability 072 */ 073 public void setProbability(double prob) { 074 iProb = prob; 075 int accept = (int) Math.round(prob * (iAcceptedStudentIds.size() + iRejectedStudentIds.size())); 076 while (iAcceptedStudentIds.size() < accept && !iRejectedStudentIds.isEmpty()) { 077 Long studentId = ToolBox.random(iRejectedStudentIds); 078 iRejectedStudentIds.remove(studentId); 079 iAcceptedStudentIds.add(studentId); 080 } 081 while (iAcceptedStudentIds.size() > accept && !iAcceptedStudentIds.isEmpty()) { 082 Long studentId = ToolBox.random(iAcceptedStudentIds); 083 iRejectedStudentIds.add(studentId); 084 iAcceptedStudentIds.remove(studentId); 085 } 086 } 087 088 @Override 089 public String getName() { 090 return "Random"; 091 } 092 093}